Data Lead Engineer

Location
Melbourne
Workplace
On-site

About this role

Must-Have Skills

• Strong expertise in SQL and Python (or similar programming languages). 

• Deep experience with Azure Data Factory (ADF), Databricks, and Azure Synapse.

• Advanced knowledge of Data Modeling and Data Warehousing (DWH) concepts

• Hands-on exposure to Microsoft Fabric ecosystem. 

• Strong understanding of cloud data architecture and enterprise-scale solutions.

 

Key Responsibilities

Lead and own end-to-end data platform delivery, including design, build, and optimization of scalable data solutions on Azure. (derived from pipeline & engineering responsibilities)

• Architect and govern data pipelines, data models, and enterprise data platformsusing Azure services.

• Provide technical leadership to data engineers, reviewing code, enforcing best practices, and ensuring quality delivery. 

• Drive development of APIs, Azure Functions, and Python-based solutions aligned with business needs.

• Oversee cloud infrastructure management and ensure optimal performance, scalability, and cost efficiency

• Define and implement data governance, data quality, and security standards. 

• Establish and drive CI/CD, DevOps practices, and agile delivery frameworks across the data platform. 

• Collaborate with business and technical stakeholders, translating requirements into scalable solutions and roadmaps. 

• Mentor team members and build capability within the data engineering team. 

 

Experience

8+ years of experience in data engineering, with 2–4 years in a leadership role

• Proven ability to lead cross-functional teams and deliver complex data programs.

 

Preferred Skills

• Experience in building enterprise APIs and Azure Function Apps. 

• Exposure to framework-based development (proc frameworks or similar). 

• Experience in stakeholder management, solution architecture, and delivery governance. 

 

Key Traits

• Strong ownership mindset with ability to drive outcomes

• Excellent communication and stakeholder management skills

• Ability to balance technical depth with delivery leadership



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